Our approach to address the problem was to provide a curated.Database of the pre-identified OM-associated genes in humans.In addition, we open up the short/single nucleotide variations (SNVs) located at the CpG islands of the promoter region for further exploratory studies in diverse populations.This database provides a user-friendly catalog of the available alleles for the SNVs in the CGIs responsible for the existence of the CGIs and the transcription factor (TF) binding change due to the altered alleles.This database also provides an interactome of OM-associated genes, protein-protein interaction, co-expression, genetic interaction, potentially involved pathways, miRNA-target interactions, and miRNA-lncRNA interactions.Useful links to other tools are also provided, offering a one-stop solution for the researchers studying the clin. disease.In summary, GeMemiOM provides a comprehensive dataset of.OM-associated genes with a possible implication of genetic/epigenetic perspective for the treatment of the disease. Our unique database for OM provides the associated genes, putative targets of methylation studies (SNVs harbored in CGIs and their possible impact on CGI status and TF binding), protein-protein interaction network, co-expression, genetic interaction, miRNA targets, miRNA-lncRNA interactions, and possibly involved pathways.This will greatly facilitate the selection of candidate genes by researchers and clinicians studying diverse OM populations around the world.